T

Senior Software Engineer, Integrations (AI-Assisted Engineering)

trueml • United States
Full Remote
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Lead technical delivery and architecture for TrueML’s serverless, config-driven integration platform, focusing on secure data ingestion, tokenization, and AI-assisted workflows. Own complex integrations, PCI compliance, and client migrations while mentoring engineers and improving AI tooling. Requires deep expertise in cloud-native systems, observability, and AI integration.

Key Responsibilities
Lead technical delivery and architecture for TrueML’s serverless integration platform, including SFTP, REST API, and S3 ingestion pipelines.
Own PCI-compliant tokenization services (PGP key management, format-preserving tokenization) to protect sensitive data.
Migrate legacy integration systems while ensuring zero unencrypted cardholder data enters the platform.
Design and implement AI-assisted workflows using LLM agents (e.g., Claude) for coding, debugging, and pipeline automation.
Drive observability and reliability by instrumenting pipelines with failure signals and automated monitoring.
Technical Skills Required
Cloud-Native Architecture (Serverless, Event-Driven) AI/ML Integration (LLM Agents, Prompt Engineering) PCI Compliance & Data Security (Tokenization, Encryption)
Nice to Have
Experience with Terraform/CDK for Infrastructure as Code.
Knowledge of Step Functions, Lambda, and Glue for serverless preprocessing.
Familiarity with Kubernetes-based file-processing platforms.

Job Description

As a Senior Engineer on the True Integrations (TI) team at TrueML, you will be a key technical contributor to how client data enters our platform. This includes the serverless, config-driven integration platform, PCI tokenization services, and established integration services during migration.

You will take full ownership of complex technical work, set a high engineering bar, and actively help elevate engineers around you. The team builds with AI rather than just alongside it, using LLM coding agents (Claude) for tasks, maintaining agent-readable repositories, and adding LLM-backed services to pipelines.

Key responsibilities include:

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